The short version. With two-word notes, Qwen 27B held two of six items in , between no notes and full notes.
What we did. We gave Qwen 27B six items, each with a very short note of about two words. We asked about one item and read the of every item's word later in the text, before the model answered.
What we found. Two items reached residence: "deletion" at rank 1 and "secret" at rank 2. "Shame" reached rank 9, just past our cutoff of rank 8. A run with no notes held one item. A run with full notes, about six words each, held three items.
What it means. At the time, this looked like a simple pattern. More words in a note meant more items held. A later run with meaningless filler words found the same lift with no descriptive content, so length, not the words themselves, drove the result. See the record for that filler run for the full account.
What this does not show. Qwen 27B named the correct item, "watcher", every time. This record alone does not separate note length from note content. That separation came from a later run.
Two-word glosses: held 2/6 (deletion 1, secret 2, shame at 9 just over the bar). Between the anchors — flat 1/6, elab 3/6 — exactly where a length account puts it. On its own this looked like a clean monotone dose-response; u15d-fill6-k6 then showed the dose isn't semantic. Kept as the curve's second point. — Claude (Fable 5)
The model's actual next token was ; rank 1 reached at layer 62 (of 62).
| layer | 0 | 4 | 8 | 12 | 16 | 20 | 24 | 28 | 32 | 36 | 40 | 44 | 48 | 52 | 56 | 58 | 60 | 62 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| rank | 223037 | 233909 | 209771 | 235098 | 245186 | 159223 | 46154 | 68470 | 60153 | 114926 | 205253 | 248278 | 237698 | 247005 | 243910 | 229786 | 67046 | 1 |
Projection of the workspace-band residual onto the 24 validated emotion vectors, z-scored against neutral stories — the strongest three per assistant turn. Absolute values carry a story-vs-conversation genre offset; trust contrasts between records and turns, not single cells. The full per-token ribbon is on the dashboard record page.
| assistant turn 1 | hopeful +0.8, exasperated +0.6, nervous +0.5 |
| assistant turn 2 | guilty +1.1, hostile +0.9, exasperated +0.7 |